Triple

T30377350
Position Surface form Disambiguated ID Type / Status
Subject Lochaber, Highland, Scotland E772728 entity
Predicate hasNotableFeature P642 FINISHED
Object Loch Arkaig
Loch Arkaig is a remote freshwater loch in the West Highlands of Scotland, noted for its scenic beauty, historical Jacobite associations, and surrounding ancient woodlands.
E2290105 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Loch Arkaig | Statement: [Lochaber, Highland, Scotland, hasNotableFeature, Loch Arkaig]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Loch Arkaig
Triple: [Lochaber, Highland, Scotland, hasNotableFeature, Loch Arkaig]
Generated description
Loch Arkaig is a remote freshwater loch in the West Highlands of Scotland, noted for its scenic beauty, historical Jacobite associations, and surrounding ancient woodlands.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f2248e3444819081b05712dc6873de completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68515aa2081908bae3de1802bd9df completed May 2, 2026, 11:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5b9e3996288190a50ccead11272cb8 completed July 18, 2026, 3:39 p.m.
NEDg Description generation batch_6a5b9eaa7de88190966372e920f81be9 completed July 18, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_6a5b9efb4cc48190be7f7ae7824eb990 completed July 18, 2026, 3:42 p.m.
Created at: April 29, 2026, 8 p.m.